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Neural circuit-wide analysis of gene expression during deafening-induced destabilization of birdsong

View ORCID ProfileBradley M. Colquitt, Kelly Li, Foad Green, Robert Veline, Michael S. Brainard
doi: https://doi.org/10.1101/2022.12.13.520194
Bradley M. Colquitt
1Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
2Department of Physiology, University of California-San Francisco, San Francisco, CA, 94158, USA
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  • ORCID record for Bradley M. Colquitt
  • For correspondence: colquitt@ucsc.edu michael.brainard@ucsf.edu
Kelly Li
1Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
2Department of Physiology, University of California-San Francisco, San Francisco, CA, 94158, USA
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Foad Green
1Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
2Department of Physiology, University of California-San Francisco, San Francisco, CA, 94158, USA
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Robert Veline
1Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
2Department of Physiology, University of California-San Francisco, San Francisco, CA, 94158, USA
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Michael S. Brainard
1Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
2Department of Physiology, University of California-San Francisco, San Francisco, CA, 94158, USA
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  • For correspondence: colquitt@ucsc.edu michael.brainard@ucsf.edu
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Abstract

Sensory feedback is required for stable execution of learned motor skills, and its loss can severely disrupt motor performance. The neural mechanisms that mediate sensorimotor stability have been extensively studied at systems and physiological levels, yet relatively little is known about how disruptions to sensory input alter the molecular properties of associated motor systems. Songbird courtship song, a model for skilled behavior, is a learned and highly structured vocalization that is destabilized following deafening. Here, we sought to determine how the loss of auditory feedback modifies gene expression and its coordination across the birdsong sensorimotor circuit. To facilitate this system-wide analysis of transcriptional responses, we developed a gene expression profiling approach that enables the construction of hundreds of spatially-defined RNA-sequencing libraries. Using this method, we found that deafening preferentially alters gene expression across birdsong neural circuitry relative to surrounding areas, particularly in premotor and striatal regions. Genes with altered expression are associated with synaptic transmission, neuronal spines, and neuromodulation and show a bias toward expression in glutamatergic neurons and Pvalb/Sst-class GABAergic interneurons. We also found that connected song regions exhibit correlations in gene expression that were reduced in deafened birds relative to hearing birds, suggesting that song destabilization alters the inter-region coordination of transcriptional state. Finally, lesioning LMAN, a forebrain afferent of RA required for deafening-induced song plasticity, had the largest effect on groups of genes that were also most affected by deafening. Combined, this integrated transcriptomics analysis demonstrates that the loss of peripheral sensory input drives a distributed gene expression response throughout associated sensorimotor neural circuitry and identifies specific candidate molecular and cellular mechanisms that support stability and plasticity of learned motor skills.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 14, 2022.
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Neural circuit-wide analysis of gene expression during deafening-induced destabilization of birdsong
Bradley M. Colquitt, Kelly Li, Foad Green, Robert Veline, Michael S. Brainard
bioRxiv 2022.12.13.520194; doi: https://doi.org/10.1101/2022.12.13.520194
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Neural circuit-wide analysis of gene expression during deafening-induced destabilization of birdsong
Bradley M. Colquitt, Kelly Li, Foad Green, Robert Veline, Michael S. Brainard
bioRxiv 2022.12.13.520194; doi: https://doi.org/10.1101/2022.12.13.520194

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